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<table width="100%"><tr><td>cens.p(gamlss.cens)</td><td align="right">R Documentation</td></tr></table><object type="application/x-oleobject" classid="clsid:1e2a7bd0-dab9-11d0-b93a-00c04fc99f9e">
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<h2>Censored Cumulative Probability Density Function of a gamlss.family Distribution</h2>


<h3>Description</h3>

<p>
Creates a cumulative density function from a current <code><a onclick="findlink('gamlss', 'gamlss.family.html')" style="text-decoration: underline; color: blue; cursor: hand">gamlss.family</a></code>  
distribution suitable for censored or interval response variable data.
</p>


<h3>Usage</h3>

<pre>
cens.p(family = "NO", type = c("right", "left", "interval"), ...)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>family</code></td>
<td>
a <code><a onclick="findlink('gamlss', 'gamlss.family.html')" style="text-decoration: underline; color: blue; cursor: hand">gamlss.family</a></code> object, which is used to 
define the distribution and the link functions of the various parameters. 
The distribution families supported by <code>gamlss()</code> can be found in 
<code><a onclick="findlink('gamlss', 'gamlss.family.html')" style="text-decoration: underline; color: blue; cursor: hand">gamlss.family</a></code>.</td></tr>
<tr valign="top"><td><code>type</code></td>
<td>
whether <code>right</code>, <code>left</code>  or in <code>interval</code> censoring is required, (right is the default) </td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
for extra arguments </td></tr>
</table>

<h3>Details</h3>

<p>
This function is used to calculate the quantile residuals for censored data distributions.
This function is not supposed to be used on its own but it is used in the function <code>gen.cens</code>.
</p>


<h3>Value</h3>

<p>
Returns a modified p family function.  
The argument of the original function d function are the same.</p>

<h3>Note</h3>

<p>
For an example see <code>gen.cens()</code>
</p>


<h3>Author(s)</h3>

<p>
Mikis Stasinopoulos <a href="mailto:d.stasinopoulos@londonmet.ac.uk">d.stasinopoulos@londonmet.ac.uk</a> and Bob Rigby <a href="mailto:r.rigby@londonmet.ac.uk">r.rigby@londonmet.ac.uk</a>
</p>


<h3>References</h3>

<p>
Rigby, R. A. and  Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), 
<EM>Appl. Statist.</EM>, <B>54</B>, part 3, pp 507-554.
</p>
<p>
Stasinopoulos D. M., Rigby R.A. and Akantziliotou C. (2006) Instructions on how to use the GAMLSS package in R.
Accompanying documentation in the current GAMLSS  help files, (see also  <a href="http://www.gamlss.com/">http://www.gamlss.com/</a>).
</p>
<p>
Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R.
<EM>Journal of Statistical Software</EM>, Vol. <B>23</B>, Issue 7, Dec 2007, <a href="http://www.jstatsoft.org/v23/i07">http://www.jstatsoft.org/v23/i07</a>.
</p>


<h3>See Also</h3>

<p>
<code><a href="cens.d.html">cens.d</a></code>,  <code><a href="gen.cens.html">gen.cens</a></code>
</p>


<h3>Examples</h3>

<pre>#see the help for function cens for an example</pre>

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